ArticleBMC health services research2017
Preventing blood transfusion failures: FMEA, an effective assessment method.
Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Healthcare Application of Failure Mode and Effect Analysis (FMEA): Is There Room in the Infectious Disease Setting? A Scoping Review.Healthcare (Basel, Switzerland) · 2025Article
- Identification of key potential infection processes and risk factors in the computed tomography examination process by FMEA method under COVID-19.BMC infectious diseases · 2024Article
- Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA.PloS one · 2024Article
- Investigating the quality of hemovigilance process using the first two steps of Six Sigma model: a cross-sectional study.BMC health services research · 2023Article
- Article
- Identifying Root Causes of Important Service Failures across Medical Examination Processes with Integration of 4M1E, ITLV, GRA, DEMATEL and FMEA.Healthcare (Basel, Switzerland) · 2022Article
- Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China.BMC health services research · 2022Article
- Developing a Risk Reduction Support System for Health System in Iran: A Case Study in Blood Supply Chain Management.International journal of environmental research and public health · 2022Article
- Proactive Risk Assessment Through Failure Mode and Effect Analysis (FMEA) for Haemodialysis Facilities: A Pilot Project.Frontiers in public health · 2022Article
- Integrating Quality Tools and Methods to Analyze and Improve a Hospital Sterilization Process.Healthcare (Basel, Switzerland) · 2021Article
- Using Failure Mode and Effects Analysis in Improving Nursing Blood Sampling at an International Specialized Cancer Center.Asian Pacific journal of cancer prevention : APJCP · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFailure Mode and Effect Analysis (FMEA) is a method used to assess the risk of failures and harms to patients during the medical process and to identify the associated clinical issues. The aim of this study was to conduct an assessment of blood transfusion process in a teaching general hospital, using FMEA as the method.
methodsA structured FMEA was recruited in our study performed in 2014, and corrective actions were implemented and re-evaluated after 6 months. Sixteen 2-h sessions were held to perform FMEA in the blood transfusion process, including five steps: establishing the context, selecting team members, analysis of the processes, hazard analysis, and developing a risk reduction protocol for blood transfusion.
resultsFailure modes with the highest risk priority numbers (RPNs) were identified. The overall RPN scores ranged from 5 to 100 among which, four failure modes were associated with RPNs over 75. The data analysis indicated that failures with the highest RPNs were: labelling (RPN: 100), transfusion of blood or the component (RPN: 100), patient identification (RPN: 80) and sampling (RPN: 75).
conclusionThe results demonstrated that mis-transfusion of blood or blood component is the most important error, which can lead to serious morbidity or mortality. Provision of training to the personnel on blood transfusion, knowledge raising on hazards and appropriate preventative measures, as well as developing standard safety guidelines are essential, and must be implemented during all steps of blood and blood component transfusion.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.